CN-121984120-A - Comprehensive energy ship electric power system energy optimization scheduling method and equipment

CN121984120ACN 121984120 ACN121984120 ACN 121984120ACN-121984120-A

Abstract

The invention provides an energy optimization scheduling method and equipment for a comprehensive energy ship power system, and relates to the technical field of energy optimization scheduling of new energy hybrid ship power systems. The method comprises the steps of establishing a ship electric power system model, constructing an upper model and a corresponding upper constraint condition which take the minimum carbon emission as an objective function based on the ship electric power system model, constructing a lower model and a corresponding lower constraint condition which take the minimum life loss of an energy storage system as an objective function, and outputting optimal scheduling parameters of energy optimization of the comprehensive energy ship electric power system by improving the optimal scheduling of the upper model and the optimal scheduling of the lower model through a multi-objective artificial bird-hiking algorithm. According to the invention, on the premise of considering the influence of the offshore navigation factors on the photovoltaic power generation, new energy is fully utilized, the carbon emission and the energy storage life loss are reduced, the environmental friendliness is improved, and the problem of energy optimization scheduling of the comprehensive energy ship power system is solved.

Inventors

LUO XIAOYUAN
ZHANG SHUXIAN
WANG XINYU
CHANG SHAOPING

Assignees

燕山大学

Dates

Publication Date: 20260505
Application Date: 20260116

Claims (10)

1. The energy optimization scheduling method for the comprehensive energy ship power system is characterized by comprising the following steps of: Establishing a ship power system model, constructing an upper model taking the minimum carbon emission as an objective function and corresponding upper constraint conditions based on the ship power system model, and constructing a lower model taking the minimum life loss of an energy storage system as an objective function and corresponding lower constraint conditions; The optimal scheduling parameters of the comprehensive energy ship power system energy optimization are output by improving the multi-objective artificial buzzer algorithm to alternately solve the optimal scheduling of the upper model and the optimal scheduling of the lower model; in the improved multi-target artificial buzzer algorithm, chaotic disturbance and gradient information are fused in a foraging iteration stage, and a solving mechanism adapting to the upper model and the lower model is constructed.
2. The energy optimization scheduling method of the comprehensive energy ship electric power system according to claim 1, wherein the upper constraint conditions comprise diesel generator operation power constraint, energy storage system constraint, thermal energy storage system constraint, ship propulsion system constraint, carbon emission constraint and ship navigation power balance constraint; The upper layer model is as follows: ; Wherein, the The output power of the hydrogen fuel cell at the time t, The power is the power output by diesel power generation at the moment t, The charge and discharge power of the energy storage system at the moment t, For the speed of the vessel at time t, The running cost sum of the ship hydrogen fuel, the diesel engine, the energy storage system, the heat energy storage system, the photovoltaic power generation system and the electric boiler, Is an index of the energy efficiency operation of the ship, The diesel generator outputs a minimum power which, The maximum output power of the diesel generator, The power of the diesel generator changes at the time t, The maximum value of the power variation of the diesel generator, The minimum charge-discharge power of the energy storage system, The maximum charge-discharge power of the energy storage system, The energy stored by the energy storage system at the moment t, The minimum energy storage value of the energy storage system, The maximum energy storage value of the energy storage system, The thermal energy storage system absorbs or releases the power of the thermal energy at time t, The minimum absorbed or released power of the thermal energy storage system, Maximum absorbed or released power of the thermal energy storage system, The energy stored by the thermal energy storage system at time t, The minimum stored energy value of the thermal energy storage system, The maximum stored energy value of the thermal energy storage system, The minimum navigational speed of the ship is set, The maximum sailing speed of the ship is set, The navigation time interval, D is the total navigation distance, The propulsion power of the vessel at time t, 、 Constant coefficients determined by the characteristics of the vessel, The diesel generator generates power at the time t as The amount of carbon dioxide produced at this time, 、、 The power coefficient of the nth generator, The running cost sum of the ship hydrogen fuel, the diesel engine, the energy storage system, the heat energy storage system, the photovoltaic power generation system and the electric boiler, Ship loading factor related to ship structure and ship loading, The maximum value of the energy efficiency operation index of the ship, The power output by the photovoltaic power generation system at the moment t, The hydrogen fuel power generation system t generates electric power at the moment, The load power of the ship at time t.
3. The energy optimization scheduling method of the comprehensive energy ship electric power system according to claim 2, wherein the lower constraint conditions comprise energy storage system constraint, thermal energy storage system constraint, power balance constraint during ship navigation, heat balance constraint and energy storage life attenuation constraint; The lower layer model is as follows: ; Wherein, the For the life-time loss rate of the energy storage system, The heat released by the electric boiler at the time t, The charge and discharge power of the energy storage system at the moment t, For the depth of discharge of the energy storage system, For the relationship between depth of discharge and energy storage system lifetime, As a first coefficient of fit, As a result of the second fitting coefficient, And the third fitting coefficient.
4. The energy optimizing and scheduling method for the comprehensive energy ship power system according to claim 3, wherein the energy storage system is constrained by: ; Wherein, the Regulating the coefficient for the stored energy power by regulating And dynamically adjusting the energy storage system constraint.
5. The energy optimizing dispatching method of the comprehensive energy ship electric power system according to any one of claims 1 to 4, wherein the outputting the optimal dispatching parameters of the comprehensive energy ship electric power system energy optimizing dispatching by alternately solving the optimal dispatching of the upper model and the optimal dispatching of the lower model by improving a multi-objective artificial buzzer algorithm comprises: solving the upper model by adopting an improved multi-target artificial buzzer algorithm to obtain upper optimal scheduling parameters; Transmitting the upper optimal scheduling parameters to the lower model to obtain an updated lower model; Solving the updated lower layer model by adopting the improved multi-objective artificial buzzer algorithm to obtain lower layer optimal scheduling parameters; And transmitting the lower optimal scheduling parameters to the upper model to obtain an updated upper model, and jumping to 'adopting an improved multi-objective artificial buzzer algorithm to solve the upper optimal scheduling parameters of the upper model', ending the process after reaching the maximum iteration number or the continuous preset number of optimal scheduling, and outputting the optimal scheduling parameters, wherein the optimal scheduling parameters comprise the upper optimal scheduling parameters and the lower optimal scheduling parameters obtained by the last iteration.
6. The energy optimization scheduling method of the comprehensive energy ship electric power system according to claim 5, wherein the step of fusing chaotic disturbance and gradient information in a foraging iteration stage to construct a solution mechanism adapting to optimization of an upper model and a lower model comprises the following steps: Introducing gradient information of the upper layer model and the lower layer model in a foraging guiding stage, and updating the status of the buzzers in the foraging guiding stage; Introducing chaotic disturbance in the field foraging stage, and updating the status of the hummer in the field foraging stage; And adjusting the migration range of the bee colony based on the objective function of the upper model and the objective function of the lower model in the migration foraging stage.
7. The energy optimizing and scheduling method of the comprehensive energy ship electric power system according to claim 6, wherein the step of introducing gradient information of the upper model and the lower model in the stage of guiding foraging to update the status of the buzzers in the stage of guiding foraging comprises the steps of: Adding gradient information of objective function of upper layer model and objective function of lower layer model in state vector of leading foraging stage according to Obtaining a humming bird state vector after iterative updating; Wherein, the For the iteratively updated state vector at time t, For the position of the ith food source at time t, Is the first Only the target food source location for the buzzer plan visit, The guiding factor is represented by a number of guiding factors, Indicating the distance of congestion, As the gradient coefficient(s), For the upper layer objective function and the lower layer objective function The gradient vector at which the gradient is located, 。
8. The energy optimizing and scheduling method for the comprehensive energy ship electric power system according to claim 7, wherein the introducing of the chaotic disturbance in the field foraging stage to update the status of the buzzers in the field foraging stage comprises: adding chaotic disturbance to state vectors of field foraging stage according to Obtaining a state vector after iterative updating; where b represents a domain-related coefficient, follows a normal distribution N (0, 1), Indicating the distance of congestion, For the position of the ith food source at time t, For a randomly selected solution from the external archive at time t, The chaotic disturbance factor at the time t is generated by logic cliff mapping: ; Wherein, the And (2) and 。
9. The energy optimizing dispatching method of the comprehensive energy ship electric power system according to claim 8, wherein the adjusting the migration range of the bee colony based on the objective function of the upper model and the objective function of the lower model in the migration foraging stage comprises: in the migration and foraging stage, according to Obtaining the food source which is the slowest to supplement in the population after iterative updating; Wherein, the Indicating the slowest food source to be replenished in the population at time t, Representing the worst leading edge layer with the lowest efficiency wor In (3) the solution of (c) is, Is a random number in [0,1], Is the maximum boundary of the migration range at time t, The minimum boundary of the migration range at the moment t; And And adjusting through the objective function of the upper model and the objective function of the lower model.
10. An integrated energy vessel power system energy optimizing and scheduling device, characterized by comprising a memory and a processor, the memory storing a computer program, the processor implementing the method according to any of claims 1 to 9 when executing the computer program.

Description

Comprehensive energy ship electric power system energy optimization scheduling method and equipment Technical Field The invention relates to the technical field of energy optimization scheduling of a new energy hybrid ship power system, in particular to an energy optimization scheduling method and equipment of a comprehensive energy ship power system. Background Under the global sustainable development, the shipping industry is used as an international trade pillar, and faces urgent demands for energy structure transformation, and international institutions strictly control ship carbon emission, so that research on new energy power generation technology of ships is promoted in various countries. Traditional marine propulsion systems rely on fossil fuels, are high in emissions and are at risk of fluctuating energy costs. Therefore, the comprehensive energy ship electric power system of new energy is introduced to gradually replace the traditional single diesel power generation system, so that the utilization rate of various energy sources can be improved, the carbon emission is reduced, and the environmental benefit and the economic benefit are improved. In the prior art, the energy optimization method for the current ship power system mainly comprises the following steps: 1. Aiming at the defect in the aspect of the energy utilization rate of ships, the energy optimization scheduling method of the new energy hybrid ship electric power system builds a multi-system collaborative optimization model, reduces the dependence of a diesel generator through multi-system collaborative scheduling, solves the problems of high oil consumption and high cost in the traditional system, but lacks deep consideration on complex physical characteristics in the electric, gas and thermal dynamic coupling process, particularly lacks research on comprehensive energy storage and heat storage links, does not consider the influence of the depth of charge and discharge on the service life of an energy storage system, and cannot realize multi-objective balance among cost, service life and emission. 2. A ship energy management control strategy based on an improved PSO (particle swarm optimization) is provided for a hybrid ship energy management system. In the constructed power system, the lithium battery pack and the diesel engine are covered, and the method can effectively realize the optimal distribution of system energy and ensure that the ship runs in an economic state. But the problem of carbon emissions during sailing of the ship is not fully considered. In the prior art, multi-energy coupling research stays at a Jian Shanneng source combination level, the complex physical characteristics in the electric, gas and thermal dynamic coupling process are lack of deep research, particularly the research on comprehensive energy storage and heat storage links is lack, in the aspect of energy storage life management, although the research on the influence of the depth of charge and discharge on the life of a battery is included, how to integrate an optimization algorithm to realize multi-objective balance among cost, life and emission is not considered, and long-term maintenance cost is not considered to be included in a scheduling model. Disclosure of Invention The embodiment of the invention provides an energy optimization scheduling method and equipment for an integrated energy ship power system, which fully utilize new energy, reduce carbon emission and energy storage life loss, improve environmental friendliness and solve the problem of energy optimization scheduling of the integrated energy ship power system on the premise of considering the influence of offshore navigation factors on photovoltaic power generation. In a first aspect, an embodiment of the present invention provides an energy optimization scheduling method for an integrated energy ship power system, including: Establishing a ship power system model, constructing an upper model taking the minimum carbon emission as an objective function and corresponding upper constraint conditions based on the ship power system model, and constructing a lower model taking the minimum life loss of an energy storage system as an objective function and corresponding lower constraint conditions; The optimal scheduling parameters of the comprehensive energy ship power system energy optimization are output by improving the multi-objective artificial buzzer algorithm to alternately solve the optimal scheduling of the upper model and the optimal scheduling of the lower model; in the improved multi-target artificial buzzer algorithm, chaotic disturbance and gradient information are fused in a foraging iteration stage, and a solving mechanism adapting to the upper model and the lower model is constructed. In one possible implementation, the upper-level constraint conditions include diesel generator operating power constraints, energy storage system constraints, thermal energy storage system cons